Senior Software Engineer - AI

As our business continues to grow, we are expanding our capabilities in harnessing cutting-edge AI advancements. We seek a highly motivated problem solver who thrives in addressing complex challenges with innovative solutions. This team is dedicated to adapting the latest AI technologies to drive value for our business. You'll be joining a small, focused, and fast paced team that plays a critical role within a broader organization of excellence.

If you're eager to be at the forefront of AI innovation and ready for impactful work, we want to hear from you.

This team and this position are physically located in our downtown San Francisco, CA office.

ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

• Develop, maintain, and enhance complex software systems leveraging state-of-the-art AI models.
• Conduct requirements analysis, software design, peer reviews, and maintain thorough documentation.
• Implement software engineering best practices including iterative development, rigorous unit testing, version control, and detailed code inspections.
• Build, manage, and optimize machine learning pipelines ensuring high availability and scalability.
• Design, execute, and analyze experiments to validate and enhance machine learning models and pipelines.

Qualifications:

• Strong .NET, .NET Core and C# skills.
• Strong Python programming experience.
• Familiarity with the latest developments in AI, regularly working with large language models (LLMs).
• Proven experience leveraging AI tools such as Cursor, ChatGPT, or Copilot to enhance development speed and efficiency.
• Experience building API Microservices.
• Working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries.
• Object oriented programming principles.
• Commitment to rigorous testing, experimentation, and data-driven decision-making.
• Ability to work both independently and within a small, focused team environment.
• Must be self-directed, analytical, adept to problem solving, and have a strong attention to detail.
• Demonstrated ability to produce quality products under tight and strict deadlines.

EDUCATION & EXPERIENCE:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years’ experience in software engineering, data engineering, or data science.
• Demonstrated cloud experience, particularly with Azure.
• Hands-on experience with big data ecosystem products/languages such as Databricks, Snowflake, Spark, Python OSS, Impala, Solr, Kudu, etc.
• Practical experience using machine learning frameworks such as Tensor Flow, PyTorch, and Scikit-learn.
• Experience with ETL processing, data access and consumption.
• Proven ability to translate business requirements into effective, data-driven solutions.

PAY RANGE:

Cor Vel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time.

For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process.

Pay Range: $97,019 – $163,027

A list of our benefit offerings can be found on our Cor Vel website:
Cor Vel Careers | Opportunities in Risk Management

In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.

ABOUT CORVEL:

Cor Vel, a certified Great Place to Work Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. Cor Vel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most…